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Automated tools for identifying syllabic landmark clusters that reflect changes in articulation.

, , , and . MAVEBA, page 63-66. Firenze University Press / ISCA, (2011)

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Coarticulatory stability in american English /r/., and . ICSLP, page 1577-1580. ISCA, (1996)An MRI-based articulatory and acoustic study of lateral sound in American English., , , and . ICASSP, page 4182-4185. IEEE, (2010)Automated tools for identifying syllabic landmark clusters that reflect changes in articulation., , , and . MAVEBA, page 63-66. Firenze University Press / ISCA, (2011)Acoustic modelling of American English /r/., , , and . EUROSPEECH, page 393-396. ISCA, (1997)An articulatory and acoustic study of "retroflex" and "bunched" american English rhotic sound based on MRI., , , and . INTERSPEECH, page 54-57. ISCA, (2007)Speechmark acoustic landmark tool: application to voice pathology., , , and . INTERSPEECH, page 2672-2674. ISCA, (2013)SpeechMark: Landmark Detection Tool for Speech Analysis., , and . INTERSPEECH, page 1894-1897. ISCA, (2012)Diversity of tongue shapes for the American English rhotic liquid., , , and . ICPhS, University of Glasgow, (2015)Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory Practice., , , , , , , , , and 5 other author(s). INTERSPEECH, page 974-975. ISCA, (2019)An Automatic, Simple Ultrasound Biofeedback Parameter for Distinguishing Accurate and Misarticulated Rhotic Syllables., , , , , , , , , and . Interspeech, page 636-640. ISCA, (2021)